I am trying to create a plotyly chart with some subplots based on Use button to filter different data in plotly python The chart generation function takes as input a stock symbol, dict of periods (m1, m3, m5... for different minutes) and stock specific period dataframes.
I am trying the put the periods as buttons, so that on a period button click, the corresponding dataframe (OHLC) can be loaded along with period dependent indicators - MACD, RSI and ADX.
The issue is only the last period df is loaded and the buttons are not showing/ loading the period specific OHLCV.
Below is the function
def plot_plotly_v3(in_stock, in_period_stock_mdf_df_dict,n):
f_stock = in_stock
f_period_stock_mdf_df_dict = in_period_stock_mdf_df_dict
period_buttons = []
i = 0
period_length = len(f_period_stock_mdf_df_dict) # to calculate visible args
period_frequency_dict = config.c_g_period_python_freq_dict # broker period to python period
for period, stock_period_df in f_period_stock_mdf_df_dict.items():
stock_period_df.index = stock_period_df.index.droplevel([1, 2])
fig = make_subplots(rows=4, cols=1, shared_xaxes=True, vertical_spacing=0.007, row_heights=[.35, .20, .20, .25],
subplot_titles=('', 'MACD', 'RSI', 'ADX'))
# removing all empty dates and build complete timeline from start date to end date
py_frequency = period_frequency_dict.get(period) # broker period to python period mapping
dt_all = pd.date_range(start=stock_period_df.index[0], end=stock_period_df.index[-1], freq=py_frequency)
# retrieve the dates that ARE in the original datset
dt_obs = [d.strftime("%Y-%m-%d %H:%M:%S") for d in pd.to_datetime(stock_period_df.index)]
# define dates with missing values
dt_breaks = [d for d in dt_all.strftime("%Y-%m-%d %H:%M:%S").tolist() if not d in dt_obs]
in_period_int = int(config.g_period_2_period_int_dict.get(period))
dvalue_ms = in_period_int * 60 * 1000
fig.update_xaxes(rangebreaks=[dict(values=dt_breaks, dvalue=dvalue_ms)])
fig_title = in_stock + ' for period ' + period + ' for range ' + 'From: ' + \
str(stock_period_df.index[0]) + ' To: ' + str(stock_period_df.index[-1])
for annotation in fig['layout']['annotations']:
annotation['textangle'] = -90
fig.update_annotations(xshift=-620, yshift=-100)
# Plot OHLC and MAs on 1st subplot
# Plot MACD trace on 2nd row
# Plot RSI trace on 3rd row
# Plot ADX trace on 4th row
# create visible args - True/ False list depending upon period/df dict
visible_args = create_true_false_list_v0(i, period_length)
# create a button object for the period we are on
button = dict(label=period, method="update", args=[{"visible": visible_args}])
# add the button to our list of buttons
period_buttons.append(button)
# i is an iterable used to tell our "args" list which value to set to True
i += 1
fig.update_layout(updatemenus=[dict(type="buttons",direction="right", x = 1,y = 1,buttons = period_buttons)],
height=800, width=1350, title=fig_title, xaxis_rangeslider_visible=False)
fig.show()
Would appreciate any support/ guidance.
Question: 1] Is it possible to display the title in the same level as toolbar/modebar. 2] Is it possible to display the period buttons in the same level as the toolbar.
